The Expression Profiles of Mrnas and Lncrnas in Buffalo Muscle Stem Cells Driving Myogenic Differentiation

Total Page:16

File Type:pdf, Size:1020Kb

The Expression Profiles of Mrnas and Lncrnas in Buffalo Muscle Stem Cells Driving Myogenic Differentiation ORIGINAL RESEARCH published: 07 July 2021 doi: 10.3389/fgene.2021.643497 The Expression Profiles of mRNAs and lncRNAs in Buffalo Muscle Stem Cells Driving Myogenic Differentiation Ruimen Zhang 1†, Jinling Wang 1†, Zhengzhong Xiao 2†, Chaoxia Zou 1, Qiang An 1, Hui Li 1, Xiaoqing Zhou 2, Zhuyue Wu 2, Deshun Shi 1, Yanfei Deng 1*, Sufang Yang 1,3* and Yingming Wei 1* 1 State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Animal Reproduction Institute, Guangxi University, Nanning, China, 2 The Animal Husbandry Research Institute of Guangxi Autonomous, Nanning, China, 3 International Zhuang Medical Hospital Affiliated to Guangxi University Chinese Medicine, Nanning, China Edited by: Guohua Hua, Huazhong Agricultural Buffalo breeding has become an important branch of the beef cattle industry. Hence, it University, China is of great significance to study buffalo meat production and meat quality. However, the Reviewed by: expression profiles of mRNA and long non-coding RNAs (lncRNA) molecules in muscle Ikhide G. Imumorin, stem cells (MuSCs) development in buffalo have not been explored fully. We, therefore, Georgia Institute of Technology, United States performed mRNA and lncRNA expression profiling analysis during the proliferation Bo Wang, and differentiation phases of MuSCs in buffalo. The results showed that there were China Agricultural University, China 4,820 differentially expressed genes as well as 12,227 mRNAs and 1,352 lncRNAs. *Correspondence: Yanfei Deng These genes were shown to be enriched in essential biological processes such as [email protected] cell cycle, p53 signaling pathway, RNA transport and calcium signaling pathway. We Sufang Yang also identified a number of functionally important genes, such as MCMC4, SERDINE1, [email protected] Yingming Wei ISLR, LOC102394806, and LOC102403551, and found that interference with MYLPF [email protected] expression significantly inhibited the differentiation of MuSCs. In conclusion, our research †These authors have contributed revealed the characteristics of mRNA and lncRNA expression during the differentiation of equally to this work buffalo MuSCs. This study can be used as an important reference for the study of RNA regulation during muscle development in buffalo. Specialty section: This article was submitted to Keywords: buffalo, muscle stem cells, mRNAs, non-coding RNAs, myogenesis Livestock Genomics, a section of the journal Frontiers in Genetics INTRODUCTION Received: 18 December 2020 Accepted: 25 May 2021 There is an annual increase in the global consumption of beef and it is an indispensable food in our Published: 07 July 2021 modern society, and therefore the beef cattle industry occupies an increasingly important position Citation: in modern agricultural practices (Bonny et al., 2015). According to statistics, in 2019, China’s beef Zhang R, Wang J, Xiao Z, Zou C, production was 6.85 million tons and beef imports were 1.66 million tons with a year-on-year An Q, Li H, Zhou X, Wu Z, Shi D, increase of approximately 57%. It is anticipated that China’s future beef demand will continue to Deng Y, Yang S and Wei Y (2021) The rise. Therefore, China urgently needs a viable and thriving beef cattle industry in order to provide its Expression Profiles of mRNAs and lncRNAs in Buffalo Muscle Stem Cells society with larger amounts of high-quality beef (Mwangi et al., 2019; Ornaghi et al., 2020). There is Driving Myogenic Differentiation. a need for us to conduct research on the growth and meat quality of locally produced beef as well as Front. Genet. 12:643497. to explore the potential molecular information of breeding stocks so as to provide reference values doi: 10.3389/fgene.2021.643497 for future breeding protocols (Grigoletto et al., 2020). Frontiers in Genetics | www.frontiersin.org 1 July 2021 | Volume 12 | Article 643497 Zhang et al. Buffalo Differentiated MuSCs Expression Profiles In ruminants, skeletal muscle tissue accounts for about 40– meat production. This culminated in the successful construction 60% of the adult animal body weight, which not only determines of the buffalo genomic DNA sequence map (Low et al., 2019). the level of meat production performance, but also has an Recently our laboratory analyzed the regulatory networks of important impact on meat quality. There is a group of myoblasts- lncRNA-mRNA interactions in the muscle tissue of cattle and muscle stem cells (MuSCs), which are the source of skeletal buffalo (Li et al., 2020). muscle formation and regeneration, and these have the potential However, when compared to cattle, buffalo muscle has the for differentiation and proliferation of muscle-derived stem cells characteristics of possessing greater shear force and consisting (Feige and Rudnicki, 2018; Feige et al., 2018). This is also the of thicker muscle fibers. At present, the molecular mechanisms current cell model for studying skeletal muscle development. that regulate buffalo muscle fibers formation are still unclear Under certain conditions, these cells can be activated causing the (Huang et al., 2021). We hypothesized that there are key MuSCs proliferate and differentiate. signaling pathway(s) which control the myogenic differentiation One of the main challenges in the field of muscle research is to of MuSCs. We, therefore, analyzed the mRNA expression understand how the genes that are involved in specialized muscle of MuSCs before and after myogenic differentiation through functions at the transcriptional and post-transcriptional levels transcriptome sequencing strategies in an attempt to screen the are regulated. Undoubtedly, myogenic regulatory factors (MRFs) signal pathways that may regulate muscle fiber development. (Hernandez-Hernandez et al., 2017), myocyte enhancer factor- Other recent studies have also shown that differential expression 2 (MEF2) (Taylor and Hughes, 2017), and PAX3/PAX7 genes lncRNAs also play an important physiological function during are the main genes involved in the growth and development of cellular differentiation of MuSCs (Zhu et al., 2017). This study skeletal muscle. Initially, long non-coding RNAs (lncRNAs) were further expands the understanding of skeletal muscle biology, considered to be transcriptional noise but later studies showed and provides a reference target for the genetic improvement of these RNAs play an important function in many biological buffalo and the production and cultivation of meat in vitro and processes (Jae and Dimmeler, 2020). Epigenetic control and in vivo. transcriptional regulation, translation, RNA metabolism, stem cell maintenance and differentiation, autophagy and apoptosis, embryonic development, and other aspects have also been shown MATERIALS AND METHODS to play important roles (Chen et al., 2020). With the discovery of a large number of important muscle regulators such as MuSCs Culture and Differentiation lncRNA H19 (Xu et al., 2017), Neat1 (Wang et al., 2019), lnc- All experiments regarding animals were performed in the State 133b (Jin et al., 2017), circLOM7 (Wei et al., 2017), more and Key Laboratory for Conservation and Utilization of Subtropical more ncRNAs related to muscle development have also been Agro-bio-resources, and were conducted in accordance with its widely characterized (Martone et al., 2019). At the same time, guidelines for the care and use of laboratory animals. Primary the important role of related coding RNAs, lncRNAs, and other water buffalo MuSCs were isolated and cultured from fetal- molecules in the development of skeletal muscle in agricultural derived longissimus muscle as described in Supplementary File animals are gradually being explored. 1, using a combination digestion method of type I collagenase So far, with the emergence of RNA structure detection and trypsin. MuSCs were cultured in high-glucose DMEM technologies such as Frag-seq (Underwood et al., 2010), supplemented with fetal bovine serum (Hyclone, USA; 10% FBS and 20% FBS, respectively) and antibiotics [1% penicillin and (ss/dsRNA)-seq, and SHAPE-seq, have allowed scientists to ◦ characterize the structure of RNAs obtained from different streptomycin; growth medium (GM)] at 5% CO2, 37 C. To tissues and cell components. When these data were combined induce MuSCs myogenic differentiation, MuSCs were switched with knowledge of RNA transformation events, such as miRNA to a differentiation medium (DMEM, 2% horse serum; DM) targeting, RNA modification, and the function of RNA binding when cells were almost 90% confluent for up to 4 days. proteins (RPBs), they have emphasized the importance of RNA structure during gene regulation (Li et al., 2012). Moreover, most Sample Preparation of these studies are focused on mRNAs and ncRNAs in order to The tissues from Chinese buffalo at embryonic stage (90 days) explore the biological functions of RNA structure. were collected at a local slaughterhouse in Nanning, Guangxi As a characteristic species of southern China, the potential use province. Tissue samples, including muscle, liver, heart, lung, of the buffalo as a meat source has gradually attracted attention. skin, kidney, brain, stomach, and intestine, were collected and The buffalo breeding industry has become a food basket project immediately frozen in liquid nitrogen. Proliferation of MuSCs for urban residents, but the meat production and meat quality of was labeled as the GM samples (n = 3) and differentiation of these buffalo needs to be improved for it to be an acceptable alternative was then called the DM samples (n = 3). The samples were kept to cattle (Li et al., 2020). Previously,
Recommended publications
  • SRC Antibody - N-Terminal Region (ARP32476 P050) Data Sheet
    SRC antibody - N-terminal region (ARP32476_P050) Data Sheet Product Number ARP32476_P050 Product Name SRC antibody - N-terminal region (ARP32476_P050) Size 50ug Gene Symbol SRC Alias Symbols ASV; SRC1; c-SRC; p60-Src Nucleotide Accession# NM_005417 Protein Size (# AA) 536 amino acids Molecular Weight 60kDa Product Format Lyophilized powder NCBI Gene Id 6714 Host Rabbit Clonality Polyclonal Official Gene Full Name V-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian) Gene Family SH2D This is a rabbit polyclonal antibody against SRC. It was validated on Western Blot by Aviva Systems Biology. At Aviva Systems Biology we manufacture rabbit polyclonal antibodies on a large scale (200-1000 Description products/month) of high throughput manner. Our antibodies are peptide based and protein family oriented. We usually provide antibodies covering each member of a whole protein family of your interest. We also use our best efforts to provide you antibodies recognize various epitopes of a target protein. For availability of antibody needed for your experiment, please inquire (). Peptide Sequence Synthetic peptide located within the following region: QTPSKPASADGHRGPSAAFAPAAAEPKLFGGFNSSDTVTSPQRAGPLAGG This gene is highly similar to the v-src gene of Rous sarcoma virus. This proto-oncogene may play a role in the Description of Target regulation of embryonic development and cell growth. SRC protein is a tyrosine-protein kinase whose activity can be inhibited by phosphorylation by c-SRC kinase. Mutations in this gene could be involved in the
    [Show full text]
  • Buffaloed: the Myth and Reality of Bison in America by Larry Schweikart
    History DECEMBER 2002 Buffaloed: The Myth and Reality of Bison in America by Larry Schweikart lmost every schoolchild is taught that the free market. Here, I will briefly review prior to the arrival of whites, Plains the findings insofar as they throw new light Indians lived in perfect harmony with on the economics of the Indians both before A nature as the ultimate socialist ecolo- and after the arrival of whites. I will look gists. According to the common tale, Indians then at their assessment of the hunting effi- had little private property—and certainly ciency of both Indians and whites. Finally, were not burdened by capitalism—and they we will examine how private market forces, hunted and killed only what they needed to not government action, revived the buffalo live. Then Europeans arrived, and using the herds. techniques of industrialized hunting, nearly exterminated the North American bison, Myth of the Ecological Indian also known as the buffalo. In the late 1800s, white hunters, such as William Frederick It is doubtful any of the authors intended “Buffalo Bill” Cody, slaughtered the animals their research to have political overtones per to meet market demand until the bison were se. Dan Flores, a professor of history at nearly gone. Then, at just the right moment, Texas Tech University before moving to the government stepped in to save the buffalo by University of Montana at Missoula; Shepard sealing them off at Yellowstone National Krech III, an anthropology professor at Park. Brown University; and Andrew C. Isenberg, It’s a convenient and easily told story, but a professor of history at Princeton, all have it has left students, well, buffaloed.
    [Show full text]
  • Interplay Between Coding and Exonic Splicing Regulatory Sequences
    Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Research Interplay between coding and exonic splicing regulatory sequences Nicolas Fontrodona,1,4 Fabien Aubé,1,4 Jean-Baptiste Claude,1 Hélène Polvèche,1,5 Sébastien Lemaire,1 Léon-Charles Tranchevent,2 Laurent Modolo,3 Franck Mortreux,1 Cyril F. Bourgeois,1 and Didier Auboeuf1 1Université Lyon, ENS de Lyon, Université Claude Bernard, CNRS UMR 5239, INSERM U1210, Laboratory of Biology and Modelling of the Cell, F-69007, Lyon, France; 2Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health (LIH), L-1445 Strassen, Luxembourg; 3LBMC Biocomputing Center, CNRS UMR 5239, INSERM U1210, F-69007, Lyon, France The inclusion of exons during the splicing process depends on the binding of splicing factors to short low-complexity reg- ulatory sequences. The relationship between exonic splicing regulatory sequences and coding sequences is still poorly un- derstood. We demonstrate that exons that are coregulated by any given splicing factor share a similar nucleotide composition bias and preferentially code for amino acids with similar physicochemical properties because of the nonran- domness of the genetic code. Indeed, amino acids sharing similar physicochemical properties correspond to codons that have the same nucleotide composition bias. In particular, we uncover that the TRA2A and TRA2B splicing factors that bind to adenine-rich motifs promote the inclusion of adenine-rich exons coding preferentially for hydrophilic amino acids that correspond to adenine-rich codons. SRSF2 that binds guanine/cytosine-rich motifs promotes the inclusion of GC-rich exons coding preferentially for small amino acids, whereas SRSF3 that binds cytosine-rich motifs promotes the inclusion of exons coding preferentially for uncharged amino acids, like serine and threonine that can be phosphorylated.
    [Show full text]
  • Stefano Sellitto 19-05-2020.Pdf
    RNA Binding Proteins: from physiology to pathology An update Stefano Sellitto RBPs regulate the RNA metabolism A ‘conventional’ RNA-Binding Protein (RBP) participates in the formation of ribonucleoprotein (RNP) complexes that are principally involved in gene expression. Keene, 2007 High-Throughuput sequencing to study the RBPs world RIP-Seq (i)CLIP PAR-CLIP Hentze et al., 2018 The concept of RNA operon The RBPs profile is highly dynamic The combinatorial association of many RBPs acting in trans on RNA molecules results in the metabolic regulation of a distinct RNA subpopulations. Keene, 2007 The molecular features of protein-RNA interactions "Classical" RNA-Binding Domains Lunde et al., 2007 "Classical" RNA-Binding Domains RNA-recognition motif (RRM) double-stranded RNA-binding motif (dsRBM) Zinc-finger motif Stefl et al., 2005 Modularity of RBPs RBPs are usually composed by several repeated domains Lunde et al., 2007 Expanding the concept of the RNA Binding Hentze et al., 2018 Novel types of RNA binding Hentze et al., 2018 Lunde et al., 2007 RNA metabolism and neurological diseases RNA binding proteins preserves neuronal integrity De Conti et al., 2017 Alterations of RBPs in neurological disorders Nussbacher et al., 2019 Microsatellite expansion in FXS: reduced FMR1 transcription The reduction of FMRP levels induces an overexpressed LTD activity Bassell & Warren, 2008 Huber et al., 2002 Microsatellite expansion in FXTAS: FMR1 RNA-meidated toxicity FMR1 expanded RNA impairs the miRNA processing Sellier et al., 2013 Loss-of-function VS Gain-of-function Park et al., 2015 TDP-43 and FUS/TLS Ling et al., 2013 TDP-43 and FUS/TLS in ALS and FTD Ling et al., 2013 Cookson, 2017 Loss-of-function VS Gain-of-function Nucelar clearance (LOF) TDP-43 Nuclear TDP-43 (LOF) Loss of TDP-43 negative autoregulation Nucleus Abolishing RNA binding ability Cytoplasmatic stress (GOF) mitigates mutant TDP-43 toxicity Prevent mutant TDP-43 toxic activity on RNAs (GOF) Ihara et al., 2013 .
    [Show full text]
  • Effects of Lactic Acid on Quality of Buffalo Offals
    Internet Journal of Food Safety, Vol.9, 2007, p. 29-36 Copyright© 2007, Food Safety Information Publishing Effects of Lactic Acid on Quality of Buffalo Offals P. Selvan 1* , S.K. Mendiratta 1, K.Porteen 2 and K.N. Bhilegaonkar 2 1Division of Livestock Products Technology, 2Division of Veterinary Public Health, IVRI, Izat nagar, Bareilly, UP, India A study was carried out to determine the influence of different concentration and contact time combinations of lactic acid solutions on microbial, sensory and physico-chemical characteristics of buffalo offals viz., head meat, heart, liver and rumen. The following concentration and contact time combinations were used: 1% lactic acid for 20 sec, 1.5% lactic acid for 15 sec and 2% lactic acid for 10 sec. A total of 80 buffalo offal samples (20 numbers of each kind) were collected from a buffalo offal market and subjected to immersion treatments. Water washed offal pieces were used as controls. Sensory evaluations were conducted using a sensory panel comprising postgraduate students and scientists of Livestock Products Technology division, Indian Veterinary Research Institute (India). The data obtained were subjected to statistical analysis using the analysis of variance (ANOVA). Mean log 10 reductions (CFU/g) achieved, based on the different treatments and kinds of buffalo offal were between 0.22 and 1.05 for total viable counts; 0.22 and 1.19 for coliforms counts and 0.25 and 0.98 for staphylococcal counts. Immersion in 2% lactic acid solution for 10 sec gave the best overall reduction effect. Sensory evaluations recorded minimal effects of treatments on buffalo offals.
    [Show full text]
  • The Effect of Buffalo Meat on Composition, Instrumental and Sensory Characteristics of Traditional Greek Sausages
    Journal of Food Research; Vol. 4, No. 3; 2015 ISSN 1927-0887 E-ISSN 1927-0895 Published by Canadian Center of Science and Education The Effect of Buffalo Meat on Composition, Instrumental and Sensory Characteristics of Traditional Greek Sausages D. Petridis1, A. Zotos1, B. Skapetas2 & V. A. Bampidis2 1 Department of Food Technology, School of Agricultural Technology, Food Technology and Nutrition, Alexander Technological Educational Institute of Thessaloniki, 57400 Thessaloniki, Greece 2 Department of Agricultural Technology, School of Agricultural Technology, Food Technology and Nutrition, Alexander Technological Educational Institute, 57400 Thessaloniki, Greece Correspondence: D. Petridis, Department of Food Technology, School of Agricultural Technology, Food Technology and Nutrition, Alexander Technological Educational Institute of Thessaloniki, 57400 Thessaloniki, Greece. Tel: 30-231-001-3917; Fax: 30-231-079-1375. E-mail: [email protected] Received: December 1, 2014 Accepted: February 10, 2015 Online Published: February 11, 2015 doi:10.5539/jfr.v4n3p26 URL: http://dx.doi.org/10.5539/jfr.v4n3p26 Abstract Five (5) mixtures of buffalo/pork meat (70/0, 52.5/17.5, 35/35, 17.5/52.5 and 0/70), maintaining stable the amount of pork backfat, were prepared and analyzed for their chemical composition, fatty acids profile, instrumental parameters and sensory attributes. The results of the study showed that the addition of buffalo meat produced sausages with higher protein and less fat content. A slight decrease in ω6/ω3 ratio was observed and an increase in CLA fatty acids. Principal Component Analysis revealed that the lower fat content in the sausages the higher the levels of CLA18:10trans 12cis and CLA18:9cis 11trans, whereas, SFA is abundant at the highest fat levels.
    [Show full text]
  • Steroid-Dependent Regulation of the Oviduct: a Cross-Species Transcriptomal Analysis
    University of Kentucky UKnowledge Theses and Dissertations--Animal and Food Sciences Animal and Food Sciences 2015 Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis Katheryn L. Cerny University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Cerny, Katheryn L., "Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis" (2015). Theses and Dissertations--Animal and Food Sciences. 49. https://uknowledge.uky.edu/animalsci_etds/49 This Doctoral Dissertation is brought to you for free and open access by the Animal and Food Sciences at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Animal and Food Sciences by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known.
    [Show full text]
  • Buffalo Hunt: International Trade and the Virtual Extinction of the North American Bison
    NBER WORKING PAPER SERIES BUFFALO HUNT: INTERNATIONAL TRADE AND THE VIRTUAL EXTINCTION OF THE NORTH AMERICAN BISON M. Scott Taylor Working Paper 12969 http://www.nber.org/papers/w12969 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 March 2007 I am grateful to seminar participants at the University of British Columbia, the University of Calgary, the Environmental Economics workshop at the NBER Summer Institute 2006, the fall 2006 meetings of the NBER ITI group, and participants at the SURED II conference in Ascona Switzerland. Thanks also to Chris Auld, Ed Barbier, John Boyce, Ann Carlos, Charlie Kolstad, Herb Emery, Mukesh Eswaran, Francisco Gonzalez, Keith Head, Frank Lewis, Mike McKee, and Sjak Smulders for comments; to Michael Ferrantino for access to the International Trade Commission's library; and to Margarita Gres, Amanda McKee, Jeffrey Swartz, Judy Hasse of Buffalo Horn Ranch and Andy Strangeman of Investra Ltd. for research assistance. Funding for this research was provided by the SSHRC. The views expressed herein are those of the author(s) and do not necessarily reflect the views of the National Bureau of Economic Research. © 2007 by M. Scott Taylor. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Buffalo Hunt: International Trade and the Virtual Extinction of the North American Bison M. Scott Taylor NBER Working Paper No. 12969 March 2007 JEL No. F1,Q2,Q5,Q56 ABSTRACT In the 16th century, North America contained 25-30 million buffalo; by the late 19th century less than 100 remained.
    [Show full text]
  • Save Pdf (0.04
    58 cambridge.org/jcts 2172 with these clinical observations, we observed altered myelopoiesis in HnrnpkTg mice. These mice demonstrate increased CD11b + Gr1 + populations in the Association between CYP450 polymorphisms and the bone marrow and peripheral blood. Indeed, these mice develop myeloid use of complementary medicine among patients with leukemia, indicated by >20% of circulating white blood cells harboring markers drug-resistant epilepsy in Puerto Rico of immature stem cells in conjunction with positive myeloperoxidase staining Bianca A. Torres-Hernández, Miriam E. Ríos Motta, Adrián Llerenaes and blast-appearing morphology. RPPA revealed expression of c-Myc positively correlated with increased hnRNP K levels. In HnrnpkTg mice, c-Myc protein and Jorge Duconge was increased, yet MYC RNA was invariably decreased compared to wildtype. University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto To decipher a mechanism by which this may occur, we demonstrated a post- Rico transcriptional interaction between hnRNP K and c-Myc in vivo. JQ1, a BRD4 inhibitor, that epigenetically decreases c-Myc expression showed preferential activity against myeloid cells expressing high levels of hnRNP K both in vitro and OBJECTIVES/SPECIFIC AIMS: Patients with epilepsy often combine their in vivo. DISCUSSION/SIGNIFICANCE OF IMPACT: These preliminary studies antiepileptic drugs (AEDs) with complementary medicine (CM). They use CM demonstrate that hnRNP K overexpression causes myeloid malignancies in to treat their symptoms of comorbidities disorder, to reduce the side effect of both mouse and man. We have determined that c-Myc contributes in part to the AEDs or trying to achieve better control of their seizures. However, the hnRNP K-mediated leukemogenesis, and that targeting c-Myc may be an inconsistent patters of the use of CM among countries have been attributed to effective strategy for hnRNP K-overexpressing AML.
    [Show full text]
  • Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia.
    [Show full text]
  • KH Domain Containing RNA-Binding Proteins Coordinate with Micrornas to Regulate
    bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.235127; this version posted August 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 KH domain containing RNA-binding proteins coordinate with microRNAs to regulate 2 Caenorhabditis elegans development. 3 4 Haskell D 1, Zinovyeva A1*. 5 6 7 (1) Division of Biology. Kansas State University. Manhattan, KS, 66506 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.235127; this version posted August 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 24 Running title: KH domain proteins coordinate with microRNAs, C. elegans 25 26 27 28 29 30 Keywords: microRNA, RNA binding protein, KH domain, hnRNPK 31 32 33 34 35 * Corresponding author: Anna Zinovyeva, PhD, 28 Ackert Hall, 1717 Claflin Road, Manhattan, 36 KS 66506, phone: 1-785-532-7727, email: [email protected] 37 38 39 40 41 42 43 44 45 46 2 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.03.235127; this version posted August 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.
    [Show full text]
  • Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
    Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002)
    [Show full text]